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Institution

LSU Health Sciences Center New Orleans

HealthcareNew Orleans, Louisiana, United States
About: LSU Health Sciences Center New Orleans is a healthcare organization based out in New Orleans, Louisiana, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 5612 authors who have published 7054 publications receiving 259043 citations. The organization is also known as: LSUHSC & LSUHSC-NO.


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Journal ArticleDOI
TL;DR: The Sydney System for the classification of gastritis emphasized the importance of combining topographical, morphological, and etiological information into a schema that would help to generate reproducible and clinically useful diagnoses as discussed by the authors.
Abstract: The Sydney System for the classification of gastritis emphasized the importance of combining topographical, morphological, and etiological information into a schema that would help to generate reproducible and clinically useful diagnoses. To reappraise the Sydney System 4 years after its introduction, a group of gastrointestinal pathologists from various parts of the world met in Houston, Texas, in September 1994. The aims of the workshop were (a) to establish an agreed terminology of gastritis; (b) to identify, define, and attempt to resolve some of the problems associated with the Sydney System. This article introduces the Sydney System as it was revised at the Houston Gastritis Workshop and represents the consensus of the participants. Overall, the principles and grading of the Sydney System were only slightly modified, the grading being aided by the provision of a visual analogue scale. The terminology of the final classification has been improved to emphasize the distinction between the atrophic and nonatrophic stomach; the names used for each entity were selected because they are generally acceptable to both pathologists and gastroenterologists. In addition to the main categories and atrophic and nonatrophic gastritis, the special or distinctive forms are described and their respective diagnostic criteria are provided. The article includes practical guidelines for optimal biopsy sampling of the stomach, for the use of the visual analogue scales for grading the histopathologic features, and for the formulation of a comprehensive standardized diagnosis. A glossary of gastritis-related terms as used in this article is provided.

4,511 citations

Journal ArticleDOI
17 Oct 2003-Science
TL;DR: Retrovirus vector insertion can trigger deregulated premalignant cell proliferation with unexpected frequency, most likely driven by retrovirus enhancer activity on the LMO2 gene promoter.
Abstract: We have previously shown correction of X-linked severe combined immunodeficiency [SCID-X1, also known as gamma chain (gamma(c)) deficiency] in 9 out of 10 patients by retrovirus-mediated gamma(c) gene transfer into autologous CD34 bone marrow cells. However, almost 3 years after gene therapy, uncontrolled exponential clonal proliferation of mature T cells (with gammadelta+ or alphabeta+ T cell receptors) has occurred in the two youngest patients. Both patients' clones showed retrovirus vector integration in proximity to the LMO2 proto-oncogene promoter, leading to aberrant transcription and expression of LMO2. Thus, retrovirus vector insertion can trigger deregulated premalignant cell proliferation with unexpected frequency, most likely driven by retrovirus enhancer activity on the LMO2 gene promoter.

3,514 citations

Journal ArticleDOI
TL;DR: A conservative strategy of fluid management using explicit protocols applied for seven days in 1000 patients with acute lung injury improved the chances of death at 60 days and the conservative strategy improved fluid balance during the first seven days.
Abstract: Background Optimal fluid management in patients with acute lung injury is unknown. Diuresis or fluid restriction may improve lung function but could jeopardize extrapulmonary-organ perfusion. Methods In a randomized study, we compared a conservative and a liberal strategy of fluid management using explicit protocols applied for seven days in 1000 patients with acute lung injury. The primary end point was death at 60 days. Secondary end points included the number of ventilator-free days and organ-failure–free days and measures of lung physiology. Results The rate of death at 60 days was 25.5 percent in the conservative-strategy group and 28.4 percent in the liberal-strategy group (P=0.30; 95 percent confidence interval for the difference, −2.6 to 8.4 percent). The mean (±SE) cumulative fluid balance during the first seven days was –136±491 ml in the conservative-strategy group and 6992±502 ml in the liberal-strategy group (P<0.001). As compared with the liberal strategy, the conservative strategy improved ...

2,733 citations

Journal ArticleDOI
Lorenzo Galluzzi1, Lorenzo Galluzzi2, Lorenzo Galluzzi3, Stuart A. Aaronson4, John M. Abrams5, Emad S. Alnemri6, David W. Andrews7, Eric H. Baehrecke8, Nicolas G. Bazan9, Mikhail V. Blagosklonny10, Klas Blomgren11, Klas Blomgren12, Christoph Borner13, Dale E. Bredesen14, Dale E. Bredesen15, Catherine Brenner16, Maria Castedo3, Maria Castedo1, Maria Castedo2, John A. Cidlowski17, Aaron Ciechanover18, Gerald M. Cohen19, V De Laurenzi20, R De Maria21, Mohanish Deshmukh22, Brian David Dynlacht23, Wafik S. El-Deiry24, Richard A. Flavell25, Richard A. Flavell26, Simone Fulda27, Carmen Garrido3, Carmen Garrido28, Pierre Golstein16, Pierre Golstein3, Pierre Golstein29, Marie-Lise Gougeon30, Douglas R. Green, Hinrich Gronemeyer16, Hinrich Gronemeyer3, Hinrich Gronemeyer31, György Hajnóczky6, J. M. Hardwick32, Michael O. Hengartner33, Hidenori Ichijo34, Marja Jäättelä, Oliver Kepp1, Oliver Kepp3, Oliver Kepp2, Adi Kimchi35, Daniel J. Klionsky36, Richard A. Knight37, Sally Kornbluth38, Sharad Kumar, Beth Levine25, Beth Levine5, Stuart A. Lipton, Enrico Lugli17, Frank Madeo39, Walter Malorni21, Jean-Christophe Marine40, Seamus J. Martin41, Jan Paul Medema42, Patrick Mehlen16, Patrick Mehlen43, Gerry Melino44, Gerry Melino19, Ute M. Moll45, Ute M. Moll46, Eugenia Morselli1, Eugenia Morselli3, Eugenia Morselli2, Shigekazu Nagata47, Donald W. Nicholson48, Pierluigi Nicotera19, Gabriel Núñez36, Moshe Oren35, Josef M. Penninger49, Shazib Pervaiz50, Marcus E. Peter51, Mauro Piacentini44, Jochen H. M. Prehn52, Hamsa Puthalakath53, Gabriel A. Rabinovich54, Rosario Rizzuto55, Cecília M. P. Rodrigues56, David C. Rubinsztein57, Thomas Rudel58, Luca Scorrano59, Hans-Uwe Simon60, Hermann Steller25, Hermann Steller61, J. Tschopp62, Yoshihide Tsujimoto63, Peter Vandenabeele64, Ilio Vitale3, Ilio Vitale1, Ilio Vitale2, Karen H. Vousden65, Richard J. Youle17, Junying Yuan66, Boris Zhivotovsky67, Guido Kroemer3, Guido Kroemer2, Guido Kroemer1 
University of Paris-Sud1, Institut Gustave Roussy2, French Institute of Health and Medical Research3, Icahn School of Medicine at Mount Sinai4, University of Texas Southwestern Medical Center5, Thomas Jefferson University6, McMaster University7, University of Massachusetts Medical School8, LSU Health Sciences Center New Orleans9, Roswell Park Cancer Institute10, Boston Children's Hospital11, University of Gothenburg12, University of Freiburg13, University of California, San Francisco14, Buck Institute for Research on Aging15, Centre national de la recherche scientifique16, National Institutes of Health17, Technion – Israel Institute of Technology18, University of Leicester19, University of Chieti-Pescara20, Istituto Superiore di Sanità21, University of North Carolina at Chapel Hill22, New York University23, University of Pennsylvania24, Howard Hughes Medical Institute25, Yale University26, University of Ulm27, University of Burgundy28, Aix-Marseille University29, Pasteur Institute30, University of Strasbourg31, Johns Hopkins University32, University of Zurich33, University of Tokyo34, Weizmann Institute of Science35, University of Michigan36, University College London37, Duke University38, University of Graz39, Ghent University40, Trinity College, Dublin41, University of Amsterdam42, University of Lyon43, University of Rome Tor Vergata44, Stony Brook University45, University of Göttingen46, Kyoto University47, Merck & Co.48, Austrian Academy of Sciences49, National University of Singapore50, University of Chicago51, Royal College of Surgeons in Ireland52, La Trobe University53, University of Buenos Aires54, University of Padua55, University of Lisbon56, University of Cambridge57, University of Würzburg58, University of Geneva59, University of Bern60, Rockefeller University61, University of Lausanne62, Osaka University63, University of California, San Diego64, University of Glasgow65, Harvard University66, Karolinska Institutet67
TL;DR: A nonexhaustive comparison of methods to detect cell death with apoptotic or nonapoptotic morphologies, their advantages and pitfalls is provided and the importance of performing multiple, methodologically unrelated assays to quantify dying and dead cells is emphasized.
Abstract: Cell death is essential for a plethora of physiological processes, and its deregulation characterizes numerous human diseases Thus, the in-depth investigation of cell death and its mechanisms constitutes a formidable challenge for fundamental and applied biomedical research, and has tremendous implications for the development of novel therapeutic strategies It is, therefore, of utmost importance to standardize the experimental procedures that identify dying and dead cells in cell cultures and/or in tissues, from model organisms and/or humans, in healthy and/or pathological scenarios Thus far, dozens of methods have been proposed to quantify cell death-related parameters However, no guidelines exist regarding their use and interpretation, and nobody has thoroughly annotated the experimental settings for which each of these techniques is most appropriate Here, we provide a nonexhaustive comparison of methods to detect cell death with apoptotic or nonapoptotic morphologies, their advantages and pitfalls These guidelines are intended for investigators who study cell death, as well as for reviewers who need to constructively critique scientific reports that deal with cellular demise Given the difficulties in determining the exact number of cells that have passed the point-of-no-return of the signaling cascades leading to cell death, we emphasize the importance of performing multiple, methodologically unrelated assays to quantify dying and dead cells

2,218 citations

Journal ArticleDOI
S. Hong Lee1, Stephan Ripke2, Stephan Ripke3, Benjamin M. Neale3  +402 moreInstitutions (124)
TL;DR: Empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.
Abstract: Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17-29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 ± 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 ± 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 ± 0.06 s.e.), and ADHD and major depressive disorder (0.32 ± 0.07 s.e.), low between schizophrenia and ASD (0.16 ± 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn's disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.

2,058 citations


Authors

Showing all 5656 results

NameH-indexPapersCitations
James R. Lupski13684474256
Jay N. Cohn12280186320
Gerald S. Berenson12283563186
Bryan L. Roth11753255690
Christopher I. Amos11688163600
Bradford C. Berk10634733310
Jay K. Kolls10249643778
Pelayo Correa10151245264
Kenneth B. Wells10048447479
James A. Eastham9852738263
Jian Huang97118940362
Thomas A. Einhorn9433032850
Matthew B. Grisham9234929002
Muhammad Farooq92134137533
Mark A. Batzer9225842440
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202264
2021492
2020437
2019436
2018305